Publication
Dynamic Opacity Optimization for Scatter Plots
Abstract
Scatterplots are an effective and commonly used technique to show the relationship between two variables. However, as the number of data points increases, the chart suffers from “over-plotting” which obscures data points and makes the underlying distribution of the data difficult to discern. Reducing the opacity of the data points is an effective way to address over-plotting, however, setting the individual point opacity is a manual task performed by the chart designer. We present a user-driven model of opacity scaling for scatter plots. We built our model based on crowd-sourced responses to opacity scaling tasks using several synthetic data distributions, and then test our model on a collection of real-world data sets.
Download publicationRelated Resources
See what’s new.
2024
TimeTunnel Live: Recording and Editing Character Motion in Virtual RealityAn animation authoring interface for recording and editing motion in…
2022
SimCURL: Simple Contrastive User Representation Learning from Command SequencesUser modeling is crucial to understanding user behavior and essential…
2005
Spotlight: Directing Users’ Attention on Large DisplaysWe describe a new interaction technique, called a spotlight, for…
2006
Prediction of Forearm Muscle Activity During GrippingOccupational exposure is typically assessed by measuring forces and…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us